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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started FREE CHAPTER 2. Downloading and Setup 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Setting up a node via Docker


Docker (https://www.docker.com/) has become a common way to deploy for testing or production some application server.

Docker is a container system that allows to easily deploy replicable installations of server applications. With Docker, you don't need to set up a host, configure it, download the Elasticsearch server, unzip it, or start the server--everything is done automatically by Docker.

Getting ready

You need a working Docker installation to be able to execute docker commands (https://www.docker.com/products/overview).

How to do it...

  1. If you want to start a vanilla server, just execute:

            docker pull docker.elastic.co/elasticsearch/elasticsearch:5.1.1
  2. An output similar to the following screenshot will be shown:

  3. After downloading the Elasticsearch image, we can start a develop instance via:

            docker run -p 9200:9200 -p 9300:9300 -e "http.host=0.0.0.0" -e    
            "transport.host=0.0.0.0"    
            docker.elastic.co/elasticsearch/elasticsearch:5.1...
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